DocumentCode :
2873123
Title :
3D Geological Modelling of the Series of Deep Strata in Xiaermen Oilfield
Author :
Wang, Jinkai ; Zhang, Jinliang
Author_Institution :
Coll. of Marine Geo-Sci., Ocean Univ. of China, Qingdao, China
Volume :
2
fYear :
2009
fDate :
18-19 July 2009
Firstpage :
255
Lastpage :
258
Abstract :
The technology of 3D computer modeling has been widely used in reservoir fine description, especially in the development phase. Itpsilas an effective way to enhanced oil recovery and reduce water cut. This paper presents an example of the application 3D modeling to the series of deep strata in Xiaermen Oilfield, Henan, China. In this paper, the geological, geophysical, petrophysical and engineering informations are integrated then a comprehensive reservoir model is built that can enhance reservoir management planning. First, a 3D structural model is built which consists of the faults model and the horizon model, then based on the structural model a 3D stochastic microfacies model of each reservoir zone through the analysis and integration of core and log data from 15 wells in the study area. Second, the physical property data is analysed among the microfacies and builds the petrophysical model which interpolation method is controlled by the distribution of the microfacies.
Keywords :
geographic information systems; hydrocarbon reservoirs; oil technology; 3D computer modeling; 3D geological modelling; 3D stochastic microfacies model; deep strata; engineering information; faults model; geological information; geophysical information; horizon model; oil recovery; petrophysical information; petrophysical model; reservoir fine description; reservoir management planning; reservoir model; reservoir zone; Data analysis; Educational institutions; Geology; Hydrocarbon reservoirs; Information processing; Numerical simulation; Petroleum; Production; Stochastic processes; Water resources; 3D geological modeling; data analysis; face control modelling; variation function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
Type :
conf
DOI :
10.1109/APCIP.2009.199
Filename :
5197184
Link To Document :
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